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  1. Article ; Online: Liability Before Diagnosis: Failure to Admit in a Stroke Case.

    Liang, Bryan A / Maroulis, James / Mackey, Tim K

    Stroke

    2023  Volume 54, Issue 4, Page(s) e171–e174

    MeSH term(s) Humans ; Malpractice ; Hospitalization
    Language English
    Publishing date 2023-03-02
    Publishing country United States
    Document type Journal Article
    ZDB-ID 80381-9
    ISSN 1524-4628 ; 0039-2499 ; 0749-7954
    ISSN (online) 1524-4628
    ISSN 0039-2499 ; 0749-7954
    DOI 10.1161/STROKEAHA.122.038790
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Understanding Medical Malpractice Lawsuits.

    Liang, Bryan A / Maroulis, James / Mackey, Tim K

    Stroke

    2023  Volume 54, Issue 3, Page(s) e95–e99

    MeSH term(s) Humans ; Malpractice/legislation & jurisprudence
    Language English
    Publishing date 2023-02-01
    Publishing country United States
    Document type Journal Article
    ZDB-ID 80381-9
    ISSN 1524-4628 ; 0039-2499 ; 0749-7954
    ISSN (online) 1524-4628
    ISSN 0039-2499 ; 0749-7954
    DOI 10.1161/STROKEAHA.122.038559
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Search Engines and Generative Artificial Intelligence Integration: Public Health Risks and Recommendations to Safeguard Consumers Online.

    Ashraf, Amir Reza / Mackey, Tim Ken / Fittler, András

    JMIR public health and surveillance

    2024  Volume 10, Page(s) e53086

    Abstract: Background: The online pharmacy market is growing, with legitimate online pharmacies offering advantages such as convenience and accessibility. However, this increased demand has attracted malicious actors into this space, leading to the proliferation ... ...

    Abstract Background: The online pharmacy market is growing, with legitimate online pharmacies offering advantages such as convenience and accessibility. However, this increased demand has attracted malicious actors into this space, leading to the proliferation of illegal vendors that use deceptive techniques to rank higher in search results and pose serious public health risks by dispensing substandard or falsified medicines. Search engine providers have started integrating generative artificial intelligence (AI) into search engine interfaces, which could revolutionize search by delivering more personalized results through a user-friendly experience. However, improper integration of these new technologies carries potential risks and could further exacerbate the risks posed by illicit online pharmacies by inadvertently directing users to illegal vendors.
    Objective: The role of generative AI integration in reshaping search engine results, particularly related to online pharmacies, has not yet been studied. Our objective was to identify, determine the prevalence of, and characterize illegal online pharmacy recommendations within the AI-generated search results and recommendations.
    Methods: We conducted a comparative assessment of AI-generated recommendations from Google's Search Generative Experience (SGE) and Microsoft Bing's Chat, focusing on popular and well-known medicines representing multiple therapeutic categories including controlled substances. Websites were individually examined to determine legitimacy, and known illegal vendors were identified by cross-referencing with the National Association of Boards of Pharmacy and LegitScript databases.
    Results: Of the 262 websites recommended in the AI-generated search results, 47.33% (124/262) belonged to active online pharmacies, with 31.29% (82/262) leading to legitimate ones. However, 19.04% (24/126) of Bing Chat's and 13.23% (18/136) of Google SGE's recommendations directed users to illegal vendors, including for controlled substances. The proportion of illegal pharmacies varied by drug and search engine. A significant difference was observed in the distribution of illegal websites between search engines. The prevalence of links leading to illegal online pharmacies selling prescription medications was significantly higher (P=.001) in Bing Chat (21/86, 24%) compared to Google SGE (6/92, 6%). Regarding the suggestions for controlled substances, suggestions generated by Google led to a significantly higher number of rogue sellers (12/44, 27%; P=.02) compared to Bing (3/40, 7%).
    Conclusions: While the integration of generative AI into search engines offers promising potential, it also poses significant risks. This is the first study to shed light on the vulnerabilities within these platforms while highlighting the potential public health implications associated with their inadvertent promotion of illegal pharmacies. We found a concerning proportion of AI-generated recommendations that led to illegal online pharmacies, which could not only potentially increase their traffic but also further exacerbate existing public health risks. Rigorous oversight and proper safeguards are urgently needed in generative search to mitigate consumer risks, making sure to actively guide users to verified pharmacies and prioritize legitimate sources while excluding illegal vendors from recommendations.
    MeSH term(s) Humans ; Artificial Intelligence ; Controlled Substances ; Public Health ; Search Engine ; Databases, Factual
    Chemical Substances Controlled Substances
    Language English
    Publishing date 2024-03-21
    Publishing country Canada
    Document type Journal Article
    ISSN 2369-2960
    ISSN (online) 2369-2960
    DOI 10.2196/53086
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Is This Safe? Examining Safety Assessments of Illicit Drug Purchasing on Social Media Using Conjoint Analysis.

    Haupt, Michael Robert / Cuomo, Raphael / Cui, Manying / Mackey, Tim K

    Substance use & misuse

    2024  Volume 59, Issue 7, Page(s) 999–1011

    Abstract: ... ...

    Abstract Background
    MeSH term(s) Humans ; Female ; Illicit Drugs ; Social Media ; Commerce ; Controlled Substances ; Advertising
    Chemical Substances Illicit Drugs ; Controlled Substances
    Language English
    Publishing date 2024-02-06
    Publishing country England
    Document type Journal Article
    ZDB-ID 1310358-1
    ISSN 1532-2491 ; 1082-6084
    ISSN (online) 1532-2491
    ISSN 1082-6084
    DOI 10.1080/10826084.2024.2310507
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: US Hepatitis C Elimination Plan.

    Calac, Alec J / McMann, Tiana / Mackey, Tim K

    JAMA

    2023  Volume 330, Issue 9, Page(s) 876–877

    MeSH term(s) Humans ; Hepacivirus ; Hepatitis C/epidemiology ; Hepatitis C/prevention & control ; United States/epidemiology ; Disease Eradication
    Language English
    Publishing date 2023-09-05
    Publishing country United States
    Document type Letter ; Comment
    ZDB-ID 2958-0
    ISSN 1538-3598 ; 0254-9077 ; 0002-9955 ; 0098-7484
    ISSN (online) 1538-3598
    ISSN 0254-9077 ; 0002-9955 ; 0098-7484
    DOI 10.1001/jama.2023.11760
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Rates of adverse events and related risk factors following e-cigarette use.

    Cuomo, Raphael E / Purushothaman, Vidya L / Mackey, Tim K / Yang, Joshua W

    Journal of public health (Oxford, England)

    2024  

    Abstract: Background: E-cigarettes have emerged as popular products, especially for younger populations. However, concerns regarding health effects exist and there is a notable gap in understanding the prevalence and nature of adverse events. This study aims to ... ...

    Abstract Background: E-cigarettes have emerged as popular products, especially for younger populations. However, concerns regarding health effects exist and there is a notable gap in understanding the prevalence and nature of adverse events. This study aims to examine the rate of adverse events in individuals who use e-cigarettes in a large sample.
    Methods: A cross-sectional survey was conducted with a sample of 4695 current and former e-cigarette users with a median age of 34 years. The survey collected data on e-cigarette use, adverse events experienced, product characteristics, related behaviors, sociodemographic factors and presence of medical comorbidities. Statistical analyses were conducted using Pearson's chi-squared tests and logistic regression.
    Results: A total of 78.9% of respondents reported experiencing an adverse event within 6 h of using a vaping device, with the most common events being headache, anxiety and coughing. Product characteristics and related behaviors significantly influenced the risk of adverse events. There were also sociodemographic disparities, with Hispanic respondents and those with at least college-level education reporting higher rates of adverse events.
    Conclusions: Our study found a high rate of adverse events among e-cigarette users. We identified that certain e-cigarette product characteristics, behaviors and medical comorbidities significantly increased the risk of these events.
    Language English
    Publishing date 2024-01-27
    Publishing country England
    Document type Journal Article
    ZDB-ID 2142082-8
    ISSN 1741-3850 ; 1741-3842
    ISSN (online) 1741-3850
    ISSN 1741-3842
    DOI 10.1093/pubmed/fdad281
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Advancing Infodemiology in a Digital Intensive Era.

    Mackey, Tim / Baur, Cynthia / Eysenbach, Gunther

    JMIR infodemiology

    2022  Volume 2, Issue 1, Page(s) e37115

    Language English
    Publishing date 2022-02-14
    Publishing country Canada
    Document type Editorial
    ISSN 2564-1891
    ISSN (online) 2564-1891
    DOI 10.2196/37115
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Opening the Policy Window to Mobilize Action Against Corruption in the Health Sector Comment on "We Need to Talk About Corruption in Health Systems".

    Mackey, Tim K

    International journal of health policy and management

    2019  Volume 8, Issue 11, Page(s) 668–671

    Abstract: Corruption in the health sector has been a "dirty secret" in the health policy and international development community, but recent global activities point to a day when it will no longer be neglected as a key determinant of health. To further explore ... ...

    Abstract Corruption in the health sector has been a "dirty secret" in the health policy and international development community, but recent global activities point to a day when it will no longer be neglected as a key determinant of health. To further explore next steps forward, this commentary applies the Kingdon's multiple-streams framework (MSF) to assess what opportunities are available to mobilize the global agenda to combat health corruption. Based on this analysis, it appears that Kingdon's problem, policy, and political streams are coalescing to create a policy window opportunity that can be leveraged based on recent developments in the global health and international development community around corruption. This includes the recent formation of the Global Network on Anti-Corruption, Transparency and Accountability (GNACTA) led by the World Health Organization (WHO), the Global Fund, and the United Nations Development Programme in 2019. It also includes bridging shared goals of addressing corruption in order to make progress towards health-specific goals in the United Nations (UN) Sustainable Development Goals (SDGs) and for achieving universal health coverage.
    MeSH term(s) Global Health ; Government Programs ; Health Policy ; Humans ; Social Responsibility ; United Nations
    Language English
    Publishing date 2019-11-01
    Publishing country Iran
    Document type Journal Article ; Comment
    ZDB-ID 2724317-5
    ISSN 2322-5939 ; 2322-5939
    ISSN (online) 2322-5939
    ISSN 2322-5939
    DOI 10.15171/ijhpm.2019.65
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Prevalence of Substandard and Falsified Essential Medicines: Still an Incomplete Picture.

    Mackey, Tim K

    JAMA network open

    2018  Volume 1, Issue 4, Page(s) e181685

    MeSH term(s) Cost of Illness ; Counterfeit Drugs ; Drugs, Essential ; Income ; Prevalence
    Chemical Substances Counterfeit Drugs ; Drugs, Essential
    Language English
    Publishing date 2018-08-03
    Publishing country United States
    Document type Journal Article ; Comment
    ISSN 2574-3805
    ISSN (online) 2574-3805
    DOI 10.1001/jamanetworkopen.2018.1685
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Tobacco/nicotine dependence as a risk factor for substance use disorders and related mental health conditions among cancer patients.

    Cuomo, Raphael E / Mackey, Tim K / Purushothaman, Vidya

    Psycho-oncology

    2023  Volume 32, Issue 9, Page(s) 1395–1400

    Abstract: Background: Cancer patients often face multiple comorbidities and are at risk for various mental health conditions and substance use disorders. Tobacco/nicotine dependence (TND) is a known risk factor for poor health outcomes and has been associated ... ...

    Abstract Background: Cancer patients often face multiple comorbidities and are at risk for various mental health conditions and substance use disorders. Tobacco/nicotine dependence (TND) is a known risk factor for poor health outcomes and has been associated with psychiatric disorders including substance use disorder. However, the specific relationship between TND and the risk of substance use disorder and mental health conditions among cancer patients remains underexplored. This study aimed to assess the association between TND and the risk of comorbid conditions among cancer patients.
    Methods: Data were obtained from a database of electronic health records for patients from the University of California health system. The odds for every condition among cancer patients with TND were calculated and compared with those for cancer patients without TND. ORs were adjusted for gender, ethnicity, and race.
    Results: Three thousand seven hundred and ninety-one cancer patients with TND had 252,619 total conditions, and 51,711 cancer patients without TND had 2,310,880 conditions. After adjusting for confounders, the condition for which TND most exacerbated risk was psychoactive substance-induced organic anxiety disorder (OR = 16.3, p < 0.001). This appeared consistent with the second, third, and fifth most-exacerbated conditions: stimulant use disorder (OR = 12.8, p < 0.001), cocaine induced mental disorder (OR = 11.0, p < 0.001), and cocaine use disorder (OR = 11.0, p < 0.001). Different conditions exacerbated by TND include acute alcoholic intoxication (OR = 11.4, p < 0.001), opioid use disorder (OR = 7.6, p < 0.001), schizoaffective disorder (OR = 7.4, p < 0.001), and cannabis use disorder (OR = 6.3, p < 0.001).
    Conclusions: Our findings reveal a strong association between TND and an increased risk of substance use disorder and mental health conditions among cancer patients. Specifically, cancer patients with TND were at an elevated risk for psychoactive substance-induced organic anxiety disorder, stimulant use disorder, and cocaine-related disorders. Additionally, TND was associated with an increased risk of acute alcoholic intoxication, opioid use disorder, schizoaffective disorder, and cannabis use disorder. These findings underscore the need for comprehensive screening and interventions to address TND and comorbid conditions among cancer patients.
    MeSH term(s) Humans ; Tobacco Use Disorder/epidemiology ; Tobacco Use Disorder/diagnosis ; Tobacco Use Disorder/psychology ; Mental Health ; Marijuana Abuse/complications ; Marijuana Abuse/diagnosis ; Marijuana Abuse/epidemiology ; Nicotine ; Alcoholic Intoxication/complications ; Substance-Related Disorders/epidemiology ; Substance-Related Disorders/psychology ; Mental Disorders/psychology ; Comorbidity ; Alcoholism/complications ; Alcoholism/epidemiology ; Risk Factors ; Cocaine ; Neoplasms/epidemiology ; Neoplasms/complications
    Chemical Substances Nicotine (6M3C89ZY6R) ; Cocaine (I5Y540LHVR)
    Language English
    Publishing date 2023-07-06
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 1118536-3
    ISSN 1099-1611 ; 1057-9249
    ISSN (online) 1099-1611
    ISSN 1057-9249
    DOI 10.1002/pon.6190
    Database MEDical Literature Analysis and Retrieval System OnLINE

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